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124 result(s) for "Caldiroli, A"
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Are there any differences in clinical and biochemical variables between bipolar patients with or without lifetime psychotic symptoms?
IntroductionBipolar Disorder (BD) is a frequent psychiatric disorder, which can be associated with high disability. Psychotic symptoms occur in more than half of bipolar patients and are associated with an unfavorable course of the disorder (Chakrabarti et al. World J Psychiatry 2022; 12(9) 1204-1232).ObjectivesThe aim of this study is therefore to identify clinical and biological markers able to discriminate between BD patients with (BD-PS) and without lifetime psychotic symptoms (BD-NPS) to facilitate early diagnosis and to implement a target clinical management of these patients.MethodsWe recruited 665 patients consecutively hospitalized for BD at Fondazione IRCCS Policlinico (Milan) and at San Gerardo Hospital (Monza). Data were obtained through a screening of the clinical charts and blood analyses conducted during the hospitalization. Patients were assessed by psychometric scales. The two groups (BD-PS and BD-NPS) were compared by t tests for quantitative variables and χ2 tests for qualitative ones. Variables that resulted to be significant in univariate analyses were inserted in binary logistic models with the presence of psychotic symptoms as dependent variable.ResultsAmong the total sample, 64.5% of patients were affected by BD-PS while 35.5% by BD-NPS. The final binary logistic regression model showed that, compared to patients with BD-NPS, those with BD-PS had a longer duration of hospitalization (p=0.007) and were more frequently hospitalized for a manic episode (p=0.001). In addition, subjects with BD-PS had a lower score on the current Global Assessment of Functioning (GAF) (t = 3.157; p = 0.002) and were more frequently males (χ² = 4.061; p = 0.044; OR = 1.399). With regard to biological variables, patients with BD-PS, compared to the counterpart, had a higher Neutrophile to Lymphocyte Ratio (NLR) (t = 2.776; p = 0.006), lower levels of Gamma-Glutamyl Transferase (γGT) (t = 2.249; p = 0.026), higher total bilirubin (t = 2.348; p = 0.019) and creatine phosphokinase (CPK) (t=2.807; p = 0.005), lower total cholesterol (t = 2.369; p = 0.018) and triglycerides (t = 2.554; p = 0.013).ConclusionsOur data appear to be in line with the literature, especially with respect to the occurrence of psychotic symptoms mainly in manic episodes and their association with greater clinical severity, longer hospitalization and worse outcome (Altamura et al. Aust N Z J Psychiatry 2019; 53(8) 772-781). From a biological point of view, it seems important to emphasize that patients with lifetime psychotic symptoms presented a higher NLR, revealing more prominent low-grade inflammation in these patients than the counterpart. These data confirm the possibility of using NLR as biomarker of severity in bipolar patients, as proposed previously by other authors (Kulacaoglu et al. Nord J Psychiatry 2022). Future multi-center study have to confirm the results of the present study.Disclosure of InterestNone Declared
Clinical and biochemical parameters associated with substance-induced psychotic disorder: which differences between alcohol, cannabis and psychostimulants
IntroductionAccording to DSM V, substance-induced psychotic disorder is a mental health condition in which the onset of psychotic symptoms can be traced to the use of a psychotropic substance. The pathogenesis of this disease is still poorly understood; current literature traces its causes back to genetic predisposition and early traumatic events (i.e. child abuse).ObjectivesThe present study aims to identify specific clinical features and biochemical markers which could be addressed as predictors for the long-term prognosis of this disease. Moreover, we aim to identify specific correlations between the clinical phenotype and the underlying substance abuse, in order to allow the early start of a tailored treatment.MethodsBetween 2020 and 2022 we recruited 218 patients referring to the Policlinico Hospital in Milan and the San Gerardo Hospital in Monza, Italy. All the patients were diagnosed with substance induced psychotic disorder: 31 reported alcohol abuse (14,2%), 71 psichostimulants (32,6%), 116 cannabis, (53,2%). For each patients, we collected demographic data, medical records and a comprehensive psychometric assessment (GAF, PANSS, BPRS, Modified Sad Person Scale-MOAS). Furthermore, we collected a blood sample for dosing Na+, K+, Na+/K+, hemogram with formula and platelets, glucose , urea, creatinine, uric acid, transaminases, γGT, bilirubin, plasma proteins, albumin, LDH, CPK, PCHE, cholesterol, HDL, LDL, Tg, TSH.ResultsChi squared test (χ²) has been used to compare qualitative variables between the 3 subgrous (alcohol-, psychostimulants- and cannabis-induced psychotic syndromes) (fig.1). One way ANOVA test has been used to compare quantitative variables between the same 3 subgroups (fig.2). After removing one of the subgropus (alcohol-induced psychotic symptoms), the same analysis have been repeated. Significant variables have been included in a binary logistic regression model in order to confirm their validity as predictors for cannabis- and psychostimulants-induced psychotic disorders (fig 3). Finally we performed Omnibus test and Hosmer-Lemeshow test in order to verify the validity of these regression models.Image:Image 2:Image 3:ConclusionsFor each considered subgroups, we indentified the following features. Alcohol induced psychotic syndrome: higher age of onset and age of hospital admission, higher cholesterol and hurea levels, , high comorbidity with medical conditions anxiety/depression, low social functioning, higher suicidal risk;, higher hospitalization rate. Cannabis induced psychotic syndrome: higher hemoglobin and albumin levels, more severe psychiatric symtoms (BPRS), higher smoking rates. Psychostimulants induced psychotic syndrome: higher multi-drug abuse risk. We could assume that according to this consideration the treatment protocols for each of these subgroups should be tailored according to their specific features.Disclosure of InterestNone Declared
The impact of mood episodes and duration of illness on cognition in bipolar disorder
A number of studies showed cognitive impairment in bipolar patients but few researches have studied the impact of mood episodes or duration of illness on neuropsychological functioning. Cognitive functioning was examined in 110 bipolar 1 outpatients with different mood state (mania, major depression, mixed episode and euthymia). The neuropsychological battery included The Visual Search Test, Trail Making Test, Corsi Test, Frontal Assessment Battery (FAB), Cognitive Estimation Task (CET) and Tower of London and it assessed attention, memory and executive/planning functions. Failures in the different cognitive tests were compared between groups using χ2 tests with Bonferroni's corrections. Finally a binary logistic regression was performed in order to find an eventual association between age and duration of illness and CET bizarreness. All the symptomatic patients (manic, depressed, mixed) failed more frequently The Visual Search Test in comparison with euthymics (χ2=9.882, df=3, p=0.017, phi=0.30; rate of failures: manic patients 32.2%, depressed patients 30.6%, euthymics 0%, mixed patients 18.2%). CET was performed worse by manic and euthymic patients (χ2=10.086, df=3, p=0.015, phi=0.31; rate of failures: manic patients 46.4%, depressed patients 22.9%, euthymics 52.1%, mixed patients 18.2%). Finally, a longer duration of illness was found to be predictive of more bizarreness at CET (OR=1.06, p=0.01). Bipolar patients present impairment in different cognitive domains even in euthymic phases. Frontal dysfunction might be associated with a long duration of illness as shown by number of bizarreness at CET in chronic bipolar patients.
Experimental Serotonergic Agents for the Treatment of Schizophrenia
Schizophrenia remains one of the most chronic and highly disabling mental disorder. To date, the pathomechanism of schizophrenia is not fully understood and current treatments are characterized by some limitations. First- and second-generation antipsychotics have shown clinical efficacy in treating positive symptoms, while are poorly effective on both negative symptoms and cognitive deficits. Moreover, they can involve many metabolic and neurological side effects, leading to low therapeutic compliance. Many evidence suggested that serotonin may play a complex role in the neurobiology of schizophrenia. Therefore, new drugs targeting 5-HT receptors (5-HTRs) have become an important area of research in schizophrenia in the hope that treatment efficacy may be improved without inducing side effects observed with currently available antipsychotics. Research using the main database sources was conducted to obtain an overview of preclinical and clinical pharmacological 5-HTR-targeted therapies in patients with schizophrenia. We identified 17 experimental serotonergic agents, under study for their potential use in schizophrenia treatment. Particularly, AVN-211, LuAF-35700 and Brilaroxazine are currently under clinical development. Moreover, some compounds showed some pro-cognitive and antipsychotic-like properties in animal models, while other agents showed contradictory effects in improving symptoms and were removed from the development program. Although some serotonergic drugs seem promising for improving the treatment of schizophrenia, further studies regarding the pathophysiological mechanisms of schizophrenia and novel compounds as well as high-quality trials are necessary in order to improve schizophrenia outcomes.
Planetary parameters, XUV environments and mass-loss rates for nearby gaseous planets with X-ray detected host-stars
We leverage Gaia DR2 parallactic distances to deliver new or revised estimates of planetary parameters and X-ray irradiation for a distance-limited (\\( 100\\) pc) sample of 27 gaseous planets (from super-Earths to hot Jupiters) with publicly available Chandra and/or XMM observations, for which we carry out a homogeneous data reduction. For 20 planets with X-ray detected host stars we make use of the photoionization hydrodynamics code ATES to derive updated atmospheric mass outflow rates. The newly derived masses/radii are not consistent with the exoplanet.eu values for five systems; HD 149026b and WASP-38, for mass; and Au Mic b, HAT-P-20 and HAT-P-2 for radii. Notably, the lower mass implies a (Saturn-like) density of \\(0.86 0.09\\) g cm\\(^-3\\) for HD 149026 b. This independent estimate is consistent with the lowest values reported in the literature. Separately, we report on the X-ray detection of GJ 9827, HD 219134 and LHS 1140 for the first time. The inferred stellar X-ray luminosity of LHS 1140 (\\(1.34^+0.19_-0.21 10^26\\) erg sec\\(^-1\\)) implies that LHS 1140 b is the least irradiated transiting super-Earth known to orbit within the habitable zone of a nearby M-dwarf.
Nutritional Strategies to Prevent Muscle Loss and Sarcopenia in Chronic Kidney Disease: What Do We Currently Know?
Loss of muscle mass is an extremely frequent complication in patients with chronic kidney disease (CKD). The etiology of muscle loss in CKD is multifactorial and may depend on kidney disease itself, dialysis, the typical chronic low-grade inflammation present in patients with chronic kidney disease, but also metabolic acidosis, insulin resistance, vitamin D deficiency, hormonal imbalances, amino acid loss during dialysis, and reduced dietary intake. All these conditions together increase protein degradation, decrease protein synthesis, and lead to negative protein balance. Aging further exacerbates sarcopenia in CKD patients. Nutritional therapy, such as protein restriction, aims to manage uremic toxins and slow down the progression of CKD. Low-protein diets (LPDs) and very low-protein diets (VLPDs) supplemented with amino acids or ketoacids are commonly prescribed. Energy intake is crucial, with a higher intake associated with maintaining a neutral or positive nitrogen balance. Adequate nutritional and dietary support are fundamental in preventing nutritional inadequacies and, consequently, muscle wasting, which can occur in CKD patients. This review explores the causes of muscle loss in CKD and how it can be influenced by nutritional strategies aimed at improving muscle mass and muscle strength.
Psychological Factors Explaining the COVID-19 Pandemic Impact on Mental Health: The Role of Meaning, Beliefs, and Perceptions of Vulnerability and Mortality
This study tested an expanded version of the explanatory model of the negative impact of the COVID-19 pandemic on mental health proposed by Milman and colleagues. Participants (N = 680) completed an online survey on demographic variables associated with poor pandemic mental health, COVID-19 stressors, mental health symptoms, and pandemic-related psychological processes we hypothesized as mediating mechanisms explaining the negative mental health effects of the COVID-19 stressors. Results indicated that these psychological processes (core belief violation, meaning made of the pandemic, vulnerability, and mortality perception) explained the severity of mental health symptoms to a far greater extent than COVID-19 stressors and demographics combined. In addition, these psychological processes mediated the impact of COVID-19 stressors on all mental health outcomes. Specifically, COVID-19 stressors were associated with increased core belief violation, decreased meaning making, and more intense perceived vulnerability and mortality. In turn, those whose core beliefs were more violated by the pandemic, who made less meaning of the pandemic, and who perceived a more pronounced vulnerability and mortality experienced a worse mental health condition. This study’s results suggest some possible ways of intervention in pandemic-like events useful for limiting such impact at the individual, group, social and political levels.
Gut microbiota composition and frailty in elderly patients with Chronic Kidney Disease
Frailty is common in older patients affected by chronic kidney disease (CKD). Since gut microbiota (gMB) may contribute to frailty, we explored possible associations between gMB and frailty in CKD. We studied 64 CKD patients (stage 3b-4), categorized as frail (F, 38) and not frail (NF, 26) according to Fried criteria, and 15 controls (C), all older than 65 years. In CKD we assessed serum C-reactive protein, blood neutrophil/lymphocyte ratio, Malnutrition-inflammation Score (MIS); gMB was studied by denaturing gel gradient electrophoresis (DGGE), high-throughput sequencing (16S r-RNA gene), and quantitative real-time PCR (RT-PCR). No differences in alpha diversity between CKD and C and between F and NF patients emerged, but high-throughput sequencing showed significantly higher abundance of potentially noxious bacteria (Citrobacter, Coprobacillus, etc) and lower abundance of saccharolytic and butyrate-producing bacteria (Prevotella spp., Faecalibacterium prausnitzii, Roseburia spp.), in CKD respect to C. Mogibacteriaceae family and Oscillospira genus abundance was positively related to inflammatory indices in the whole CKD cohort, while that of Akkermansia, Ruminococcus and Eubacterium genera was negatively related. Compared with NF, in F there was a higher abundance of some bacteria (Mogibacteriacee, Coriobacteriacee, Eggerthella, etc), many of which have been described as more abundant in other diseases. These results suggest that inflammation and frailty could be associated to gMB modifications in CKD.
Resilience as a mediator of quality of life in cancer patients in healthcare services
Quality of life is a critical outcome in oncology, influencing treatment adherence and patient satisfaction. Haematology patients face psychological challenges, including emotional distress, depression and PTSD, which can affect their quality of life. Resilience and social support are protective factors that help patients cope with these challenges. This study aimed to assess the psychological adjustment of haematology patients by examining psychological outcomes (PTSD and depression), psychological resources (resilience and perceived social support), and quality of life. It also examined correlations between demographic variables, psychological outcomes and resources to identify predictors of quality of life and whether resilience mediates these effects. A sample of 110 haematology patients from three hospital centers in central/southern Italy participated. Data were collected using self-report questionnaires measuring PTSD, depression, resilience, social support and quality of life. Correlational analyses and hierarchical multiple regression were used to explore the relationships between variables, followed by a mediation analysis to examine the role of resilience. Results indicated that QOL was negatively associated with gender, age, PTSD and depression, but positively associated with resilience. Regression analyses showed that quality of life was significantly predicted by resilience, age, depressive symptoms and gender. The mediation model showed that resilience partially mediated the effects of age, gender and depression on QoL. These findings highlight the protective role of resilience in improving quality of life in haematology patients. Despite limitations related to sample size and the use of self-report questionnaires, this study provides valuable insights into the psychological adjustment of haematology patients and highlights the importance of considering psychological resources in oncology care.
Rellich inequalities with weights
Let Ω be a cone in with n ≥  2. For every fixed we find the best constant in the Rellich inequality for . We also estimate the best constant for the same inequality on . Moreover we show improved Rellich inequalities with remainder terms involving logarithmic weights on cone-like domains.